Discover risk, prevent exposure, and respond with context across AI, people, and data.
What this milestone means for enterprise AI security - and why we built it.
MCP standardizes how AI agents call core banking systems, payment rails, and customer databases. One common protocol now connects any AI tool to any system, with traffic that legacy DLP doesn’t parse and an API gateway doesn’t see.
America's cybersecurity agency left its production credentials sitting in a public GitHub repo for six months. The same failure pattern is now being automated by AI agents in every enterprise running Cursor, Claude Desktop, or Copilot.
Your AI agents had a productive day. Nobody can tell you what data they touched.
There are over 20,000 MCP servers in public registries. Most enterprise security stacks have limited or no visibility into MCP activity.
MCP traffic can evade legacy DLP and SIEM controls. Use this 10-step checklist to monitor MCP usage, secure AI agents, and stop data exfiltration in 2026.
Six reasons MCP traffic slips past traditional security tools — and how to close the gap.
The attack surface changed. Most security programs haven't caught up.
When an AI agent has access to private data, processes untrusted content, and can communicate externally, any attacker who can slip instructions into the content the agent reads can exfiltrate whatever it can reach
The Vercel breach started with one employee, one OAuth grant, and permissions no one was watching
The LiteLLM breach exposed thousands of organizations through a cascading supply chain attack that crossed five ecosystems in six days. One stolen token from a trusted security scanner was all it took.
A recent Chrome Gemini incident exposed how privileged AI layers in browsers can be exploited to access sensitive data. Here's how to address the problem with AI-native DLP.
Nightfall's three new detectors expand global DLP coverage for persistent gaps in modern DLP: image-based PII, regional coverage, and improved detection quality.
Legacy DLP was built for static patterns and files. It can’t detect sensitive data moving through prompts, synthesized outputs, or autonomous AI workflows, like WhatsApp’s AI chat memory.
Glean and Claude Cowork are exposing your sensitive data. Legacy DLP can't see, track, or alert on it.
AI expands what’s possible inside a security system but it never enough on its own.
25 million customer records were exposed over 83 days in the Conduent data breach. An undetected data exfiltration through a third-party processor most people have never heard of. And legacy DLP missed it.
When insider risk surfaces, teams need context, timelines, and application-level intelligence. Nightfall is introducing Forensic Search and App Intelligence specifically for this purpose.
The Nike breach is a warning shot for every security team. Legacy DLP didn’t stop it. Because it was built for a different era.
Legacy DLP can’t distinguish corporate vs. personal sessions. Data lineage is lost once content leaves its source. Fragmented enforcement falls apart across email gateways, endpoints, browsers, and SaaS tools.
Traditional DLP was built to find patterns. Modern data risk is about understanding context.
When the agency tasked with protecting U.S. federal networks exposes sensitive data to ChatGPT, AI-driven data loss stops being theoretical. It becomes a control gap.
Regex was never built to understand context. Your DLP shouldn’t depend on it.
Legacy DLP was built to look for strings. Modern data lives in documents. Nightfall identifies sensitive documents in real time across Slack, Drive, and AI workflows.
As tools adopt Model Context Protocols (MCP), AI agents can autonomously access source code, databases, and files outside legacy DLP, proxy, and audit controls.
Most data loss today bypasses traditional DLP entirely. Sensitive data now moves through AI tools, personal cloud accounts, privacy-first browsers, and Git repositories. Often without ever touching the controls security teams rely on.
Coinbase’s $400M breach was not a perimeter failure. It was a DLP failure.
The recent Coupang data breach highlights a persistent blind spot for security teams: limited visibility and control at the data layer itself.
Create custom file classifiers using natural language prompts with Nightfall AI. No regex, no model training, no data science support required.
Nightfall helps close gaps around SEC’s Regulation S-P’s expanded expectations by delivering automated data discovery, ML-driven classification, real-time safeguards, and detailed incident-response artifacts across SaaS apps.
Cybersecurity professionals: Black Friday & Cyber Monday deals just for you are here: 17 must-have tools and courses to level up your skills in 2026 and beyond.
Nightfall CEO and co-founder Rohan Sathe appeared on The Cloudcast podcast recently to explain why shadow AI risk is accelerating and why traditional DLP can’t keep up.
Discover the top 10 endpoint DLP solutions of 2025 with these AI-ready data protection tools. Nightfall is the leading choice for its cloud-native architecture, lightweight performance, and unmatched accuracy in preventing data leaks to AI tools.
Windows endpoints remain the backbone of enterprise workloads, and the primary vector for sensitive data.
Macs now dominate enterprise endpoints, yet traditional DLP tools often lag behind Apple’s evolving security model.
Twenty years ago, we were wrestling with shadow IT. Today, we're witnessing the same problems shadow AI.The fundamental question remains unchanged: What happens to our data?
Sensitive data, IP, and customer information are slipping into shadow AI apps every day. And your teams may not even know it’s happening.
Nightfall DLP provides full visibility across Microsoft 365, from Exchange to SharePoint.
Safe AI adoption isn’t about restriction. It’s about visibility, guidance, and smart governance.
See Nightfall's new AI-driven features and platform enhancements designed to make your DLP workflows smarter, faster, and more precise.
Don’t miss your chance and join us as our VIP Guest to expand your network, sharpen your skills, and gain new perspectives in this unique, invitation-only event.
As AI reshapes the security landscape, every security leader faces a critical question: Should you build your own DLP tools, or buy solutions already powered by AI?
Product news and updates from Nightfall: improved dashboard, new detectors, and a lot more.
A discussion with Rohan Sathe, Co-founder of Nightfall AI, and Unni Patel, Senior Product Manager at Vanta
“We have a DLP tool, but we still had no idea this much data was exposed.”
Legacy DLP wasn’t built to protect data from gen AI use
Nightfall Product Updates & News: April 2025
G2 Recognizes Nightfall as Data Loss Prevention (DLP) Leader for Spring 2025
Secure APIs and Passwords with Nightfall’s AI-Native DLP
Nightfall DLP makes it easy to enforce policies to combat shadow AI and keep critical data safe
Protect PHI and PII with Nightfall's Essential DLP Checklist for Health Tech and Life Sciences
See how the 3 I’s of DLP are built into everything Nightfall does when protecting sensitive data across endpoints and SaaS
Insider risk illustrated, with Nightfall DLP
Get to know the risks that can threaten sensitive information when moving to the cloud, what’s at stake in an exfiltration event, and how Nightfall’s AI-first, all-in-one DLP can protect your information while migrating to Atlassian Cloud.
The Nightfall blog is a knowledgebase for cybersecurity professionals with news and insights from the world of cloud security. Each week, we’re publishing new content to help you stay up-to-date on cybersecurity topics and to prepare you for the issues and threats that occur every day on the job.
The Nightfall blog is a knowledgebase for cybersecurity professionals with news and insights from the world of cloud security. Each week, we’re publishing new content to help you stay up-to-date on cybersecurity topics and to prepare you for the issues and threats that occur every day on the job
Nightfall, the leading cloud-native data protection platform, has successfully achieved Service Organization Control (SOC) 2 Type 2 compliance. Nightfall is the first cloud-native data loss prevention vendor to complete this certification and meet the American Institute of Certified Public Accountants (AICPA) criteria for managing customer data.
Chat and messaging systems have helped customer experience teams expand and improve the services they offer through instant communications.
When your customers reach out for help, they send messages to your support team that likely contain personal information.
Slack as a product is constantly expanding with new functionality and integrations. Slack Connect is among the most popular new features Slack introduced in the past year and is growing in popularity because it’s an easy way to stay connected with people you work with outside your organization — in real time with all the features that Slack offers.
The Nightfall blog is a knowledgebase for cybersecurity professionals with news and insights from the world of cloud security. Each week we’re publishing new content to help you stay up-to-date on cybersecurity topics and to prepare you for the issues and threats that occur every day on the job.
Infosec leaders have a lot of corners to cover in their cybersecurity strategy. When crafting the tactics and onboarding the platforms that will protect sensitive information, the checklist of requirements could be missing a very important vector for attack, compliance risk or data loss: application logs.
Data warehouses power your data analysis and business intelligence operations so you can level up your knowledge and progress toward bigger business goals. Like any key component of your tech stack, using data warehouses effectively also requires care and caution — especially when uploading and sharing sensitive information.
When your customers want help, ticketing systems provide the first line of communication between your company and your customers.
The Nightfall blog is a knowledgebase for cybersecurity professionals with news and insights from the world of cloud security.
The Nightfall blog is a knowledge base for cybersecurity professionals with news and insights from the world of cloud security. Each week we’re publishing new content to help you stay up-to-date on cybersecurity topics and to prepare you for the topics and threats that occur every day on the job.
The Atlassian suite makes remote collaboration easy and efficient for distributed teams. Confluence, one of Atlassian’s best known and widely used apps, is a flexible and customizable wiki solution that can host almost anything for a company. From software documentation and process docs to hosting meeting notes and project plans, the possibilities for what your team can do in Confluence are endless.
The Nightfall blog is a resource for cybersecurity professionals with news and insights from the world of cloud security. Each week we’re publishing new content to help you stay up-to-date on cybersecurity issues and to be more proactive in managing your data security.
The Nightfall blog is a resource for information security professionals to learn more about the challenges we face in the industry. Every week, Nightfall publishes news and insights from the world of cloud security to help you stay current with the cybersecurity world and better prepare for threats before they become serious problems.
The Nightfall blog is a resource for cybersecurity professionals to learn more about the challenges we face in the industry. Every week Nightfall publishes news and insights from the world of cloud security, and success stories of how modern organizations across different industries are protecting their data.
The Nightfall blog is a resource for cybersecurity professionals to learn more about the challenges we face in the industry.
Nightfall AI is featured in Forrester Research’s most recent report Now Tech: Data Discovery And Classification, Q4 2020. We’re excited to be included among other cybersecurity leaders that focus on data discovery and classification.
Nightfall Data Loss Prevention (DLP) is now available as a CircleCI orb. CircleCI orbs are reusable snippets of code that help automate repeated processes, speed up project setup, and make it easy to integrate with third-party tools.
Learn how the Nightfall Developer Platform leverages APIs to integrate when any cloud environment, including Snowflake.
Nightfall's Developer Platform allows data protection in any cloud environment, even Airtable. Learn more.
Data exfiltration — the risk of your data ending up somewhere it doesn’t belong — remains one of the greatest data security concerns.
Without security controls like data loss prevention (DLP), the task of discovering and preventing breach events may prove impossible for even the most proactive of security teams.
Data loss prevention (DLP) can help solve the content moderation problem with automated scanning of SaaS environments to identify improper messages before they’re shared.
Data loss prevention (DLP) is one way security leaders can reclaim their power and maintain better security in the cloud.
We’re sharing five ways DLP supports long-term holistic security goals for your organization, including giving your employees visibility into how security decisions are made on Slack and supporting security for the remote workforce
Here’s the first part of a series of ways DLP for Slack supports many essential cybersecurity initiatives for everyday safety, like staying in compliance, detecting unstructured data, and more..
Cloud infrastructures like Google Drive must be secured to protect data while preserving the best user experience possible. Here are four concepts to understand about Google Drive’s sharing and permissions settings that can help save your organization from a major data loss or breach event.
Here are a few questions to ask internally when creating your candidate experience and improve your chances at adding the right people to your organization.
Tech and security decision makers working to protect schools should ask six main questions to diagnose their organizations’ readiness to move instruction online, identify gaps, and find solutions to their most pressing issues in student data security.
We put together a list of eight ways COVID-19 is making an impact on common things we use and interact with every day.
This list of five common sources of accidental data leaks will help you identify the problems that could be lurking in your systems, apps, and platforms. Use these examples to prepare tighter security controls and keep internal problems from becoming major issues across your entire organization.
Here’s four reasons why the barnyard-sounding metaphor still persists in the memories of devops teams around the cloud security world, and how organizations can adopt these foundational ideas for more efficient cloud operations.
By the end of this post, it will be clear how DLP eliminates the risk of data exfiltration and why organizations need a security strategy that includes a DLP solution.
As we reach the halfway point of 2020, we see a long and overdue dedication to the BLM movement across the country. The senseless murders of George Floyd, Ahmaud Arbery, Breonna Taylor, and countless others underscore the severe issues of racism and injustice we live with every single day.
This post outlines how each of the three steps of DLP supports compliance and regulatory standards, with a look into a hypothetical case study covering business associate agreements required for HIPAA compliance. Finally, we’ll share how a solid DLP solution can take on your company’s data governance.
Ryan Nece followed in his father Ronnie Lott’s footsteps to become a Super Bowl champion, philanthropist, and venture capital leader. He’s building his legacy as the co-founder and managing partner of Next Play Capital, a VC firm that’s investing in rising startups
Over the past few days, here are some of the commitments we've started to make in an effort to affect change
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